大気水圏科学(A)
セッション小記号 大気水圏科学複合領域・一般(CG)
セッションID A-CG39
タイトル 和文 グローバル炭素循環の観測と解析
英文 Global Carbon Cycle Observation and Analysis
タイトル短縮名 和文 グローバル炭素循環
英文 Global Carbon Cycle
代表コンビーナ 氏名 和文 市井 和仁
英文 Kazuhito Ichii
所属 和文 千葉大学
英文 Chiba University
共同コンビーナ 1 氏名 和文 Patra Prabir
英文 Prabir Patra
所属 和文 Research Institute for Global Change, JAMSTEC
英文 Principal Scientist at Research Institute for Global Change, JAMSTEC and Professor at Research Institute for Humanity and Nature
共同コンビーナ 2 氏名 和文 伊藤 昭彦
英文 Akihiko Ito
所属 和文 東京大学
英文 University of Tokyo
共同コンビーナ 3 氏名 和文 Oksana Tarasova
英文 Oksana Tarasova
所属 和文 World Meteorological Organization
英文 World Meteorological Organization
発表言語 E
スコープ 和文
The Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC) is a landmark agreement, which aims at reduction of greenhouse gases (GHGs) emission to keep the global warming below 2 deg C. The national commitments and progresses should be carefully monitored and verified by international bodies using different but complementary methodologies. Many observations and techniques to monitor GHGs budget have been improved in recent years, e.g. atmospheric inverse analysis, process-based models, and national statistics for inventories. As the demand for on time delivery of many of these products at low latency has increased from different stakeholders, the product delivery and accuracy assessment is being discussed at WMO and GCP activities. However, due to uncertainties in sparse observation network and integration methods, large uncertainty remains in GHGs sources/sinks estimations at global and regional scales. The purpose of the session is to discuss state-of-the-art techniques for estimations of GHGs (e.g. CO2, CH4, N2O) budget at global and regional scales. The topic includes natural and anthropogenic processes, various methodologies (e.g. in-situ observation, aircraft monitoring, remote sensing, modeling, integration), and various targets (e.g. atmosphere, land, and ocean), various spatial and temporal coverage (e.g. local-global  and past-present-future). Optimization of observation locations for maximum benefit of flux uncertainty reduction (intelligent network design) is encouraged in this context. Improved estimates of emissions from land use change, biomass burning, and other anthropogenic sources are also of interest.  
英文
The Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC) is a landmark agreement, which aims at reduction of greenhouse gases (GHGs) emission to keep the global warming below 2 deg C. The national commitments and progresses should be carefully monitored and verified by international bodies using different but complementary methodologies. Many observations and techniques to monitor GHGs budget have been improved in recent years, e.g. atmospheric inverse analysis, process-based models, and national statistics for inventories. As the demand for on time delivery of many of these products at low latency has increased from different stakeholders, the product delivery and accuracy assessment is being discussed at WMO and GCP activities. However, due to uncertainties in sparse observation network and integration methods, large uncertainty remains in GHGs sources/sinks estimations at global and regional scales. The purpose of the session is to discuss state-of-the-art techniques for estimations of GHGs (e.g. CO2, CH4, N2O) budget at global and regional scales. The topic includes natural and anthropogenic processes, various methodologies (e.g. in-situ observation, aircraft monitoring, remote sensing, modeling, integration), and various targets (e.g. atmosphere, land, and ocean), various spatial and temporal coverage (e.g. local-global  and past-present-future). Optimization of observation locations for maximum benefit of flux uncertainty reduction (intelligent network design) is encouraged in this context. Improved estimates of emissions from land use change, biomass burning, and other anthropogenic sources are also of interest.  
発表方法 口頭および(または)ポスターセッション
ジョイントセッション AGU
招待講演 David Roy (Michigan State University)
時間 講演番号 タイトル 発表者
口頭発表 5月27日 PM1
13:45 - 14:00 ACG39-01 Assessing central Africa tropical forest carbon using ground-based inventory and Sentinel-2 tree height deep learning David Roy
14:00 - 14:15 ACG39-02 Estimation of CO2 fluxes for two landscape types with different vegetation and surface topography: modeling results and comparison with measured data Iuliia Mukhartova
14:15 - 14:30 ACG39-03 Evaluation of the Time Series Transformer Model and ESA-CCI PFT Dataset v2.0.8 for Upscaling Global Gross Primary Productivity Anh Phan
14:30 - 14:45 ACG39-04 Development of a near-real time simulation system of terrestrial fluxes with a process-based model 伊藤 昭彦
14:45 - 15:00 ACG39-05 Comparison of Machine Learning, Remote Sensing, and Process-Based Models in GPP Estimation: Insights from Multi-Model Evaluation 王 汝慈
15:00 - 15:15 ACG39-06 Toward near-real-time delivery of global 1°x1° sea-air CO2 flux product 飯田 洋介
口頭発表 5月27日 PM2
15:30 - 15:45 ACG39-07 Advancing Methane Flux Estimation: Integrating Isotopic, Satellite, and Modeling Approaches to Support Global CH4 Monitoring Belikov Dmitry
15:45 - 16:00 ACG39-08 Methane Inversion Inter-Comparison for Asia (MICA): Improving Regional CH4 Emission Estimates to Support Climate Mitigation Efforts Fenjuan Wang
16:00 - 16:15 ACG39-09 Investigation of Greenhouse Gas Spatial Distribution over the Korean Peninsula using Aircraft Measurement and Validation of the INVERSE-KOREA Model Yongjoo Choi
16:15 - 16:30 ACG39-10 Quantification of SO2 and CO2 Emission Rates from Coal-Fired Power Plants in the Korean Peninsula via Airborne Me Jeonghwan Kim
16:30 - 16:45 ACG39-11 Agreement and gaps between the top-down and bottom-up estimates of East Asian carbon sink Naveen Chandra
講演番号 タイトル 発表者
ポスター発表 5月27日 PM3
ACG39-P01 Simulation of Soil Organic Carbon Storage Changes in Agricultural Lands of a river basin in Central Taiwan Cheng-Tse Wu
ACG39-P02 Estimating Forest Carbon Sequestration in the Mountainous Region in Central Taiwan Using a Terrestrial Ecosystem Model Yun-Chen Hsieh
ACG39-P03 モンゴルにおける過去40年における植生活動の変動とその要因解析 渡辺 玲奈
ACG39-P04 Environmental Carbon Monitoring Throughout the Life Cycle of Soil and Water Conservation Vertical Projects I-CHIA CHIU
ACG39-P05 Quantifying landscape heterogeneity around flux towers using CubeSat images with high spatiotemporal resolutions 林 婉琦
ACG39-P06 Estimation of half-hourly gross primary productivity in rice paddy fields using five years of ground-based solar-induced chlorophyll fluorescence observations Gyeong-Min Kim
ACG39-P07 GCOM-C SGLIデータセットを用いたBESSモデルによる全球の炭素・水フラックスプロダクト SHAO SHUAI
ACG39-P08 Assessment of fire disturbance and post-fire recovery in Siberian vegetation Rui Fu
ACG39-P09 Agricultural strategies in a changing climate: do elevation and farming practices influence carbon sequestration in the tea farms of Taiwan? Yu-Ching yang
ACG39-P10 Testing of Evapotranspiration Partitioning in a Rice Paddy Using Gross Primary Production Estimated from Eddy Covariance Hayeon Won
ACG39-P11 Using low Earth orbit satellites and ground observations to create data-driven carbon flux models. Daniel Joseph Henri
ACG39-P12 アジアにおける陸域炭素フラックスの変動:複数のボトムアップ手法による解析 市井 和仁
ACG39-P13 Assessment of black carbon concentrations at the EANET Listvyanka observation station. Andrew Valerievich Ryabov
ACG39-P14 The selection of the optimal analytical method for determining the mass concentration of black carbon in precipitation samples. Xenia Ustinova
ACG39-P15 Modeling of long-term δ13C variability in atmospheric CO2 : Insights into carbon exchange processes among atmosphere, biosphere, and ocean UDDALAK CHAKRABORTY